Satellite Communication (SatCom) networks are become more and more integrated with the terrestrial telecommunication infrastructure. In this paper, we shows the current status of the still ongoing European Space Agency (ESA) project”Data-driven Network Controller Orchestration for Real time Network Management-ANChOR”. In particular, we propose a Long Short-Term Memory (LSTM)based methodology to drive the dynamic selection of the optimal satellite gateway station, which will be performed by combining different kinds of information (i.e. traffic profile, network and weather conditions). Some preliminary results on the real world dataset shows the effectiveness of the proposed approach.

AI for Zero-Touch Management of Satellite Networks in B5G and 6G Infrastructures / Galli, A.; Giardina, P.; Guta, M.; Lossi, L.; Mancina, A.; Moscato, V.; Patrone, F.; Roseti, C.; Romano, S. P.; Sperli, G.; Zampognaro, F.. - 3189:(2022). (Intervento presentato al convegno 1st International Workshop on Artificial Intelligence in Beyond 5G and 6G Wireless Networks, AI6G 2022 tenutosi a ita nel 2022).

AI for Zero-Touch Management of Satellite Networks in B5G and 6G Infrastructures

Galli A.;Moscato V.;Romano S. P.;Sperli G.;
2022

Abstract

Satellite Communication (SatCom) networks are become more and more integrated with the terrestrial telecommunication infrastructure. In this paper, we shows the current status of the still ongoing European Space Agency (ESA) project”Data-driven Network Controller Orchestration for Real time Network Management-ANChOR”. In particular, we propose a Long Short-Term Memory (LSTM)based methodology to drive the dynamic selection of the optimal satellite gateway station, which will be performed by combining different kinds of information (i.e. traffic profile, network and weather conditions). Some preliminary results on the real world dataset shows the effectiveness of the proposed approach.
2022
AI for Zero-Touch Management of Satellite Networks in B5G and 6G Infrastructures / Galli, A.; Giardina, P.; Guta, M.; Lossi, L.; Mancina, A.; Moscato, V.; Patrone, F.; Roseti, C.; Romano, S. P.; Sperli, G.; Zampognaro, F.. - 3189:(2022). (Intervento presentato al convegno 1st International Workshop on Artificial Intelligence in Beyond 5G and 6G Wireless Networks, AI6G 2022 tenutosi a ita nel 2022).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/914543
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